Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2103.15084.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T23:44:17.042117Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-21T04:33:57.742354Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8648e97c-07c8-445f-9080-6ff43f922b5d · inbound
Quantum entanglement provides a competitive advantage in adversarial games cites this paper.
Quantum entanglement provides a competitive advantage in adversarial games Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T23:44:17.042117Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0398a12f-5ba6-4b53-91dd-60fb6fd78a10 · inbound
Quantum Advantage in Multi Agent Reinforcement Learning cites this paper.
Quantum Advantage in Multi Agent Reinforcement Learning Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-15T01:48:28.073326Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation e18e4649-593a-4c93-8b25-179362327c91 · inbound
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing cites this paper.
Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing Quantum agents in the Gym: a variational quantum algorithm for deep Q-learning
Reference 51
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T04:33:57.743814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.